摘要： 针对在图象处理中对压缩和解压缩方法的评价缺乏一个与人类视觉相关性很好的模型这一问题，提出并使用了基于人类视觉的模型。并使用在lena和fruit这两幅图象处理中的经典图片上，取得了和人类观测结果吻合的结论。

关键词: 可容许最大噪声, 尖峰信噪比, 均方误差, 视觉模型

Abstract: Most existing efforts in image and video compression have focused on developing methods that minimize mathematically tractable distortion metrics (such as MSE). While such distortion measures were found to perform well for many applications, they do not always correlate well with the perceived quality. We present a perceptual model, which would decide which code/decoder method is the best at different code rate. The main idea of this perceptual model is to firstly decompose both the original image and the recovered image using wavelet transform, and then compare them at different subband and orientation to get perceptual PSNR. We use this perceptual model to compare four different codec, i.e. JPEG, PIC4x4, PIC8x8 and Said Pearlman codec for the typical imageslena. The results are well correlated with the human visual system. Another interesting point here is that we find that this wavelet based perceptual metric does favor the wavelet-based codec Said-Pearlman codec somehow (esp. at the lower bit rate).

中图分类号: 

• TN919.81